Efficacy and Tolerability of Desvenlafaxine Succinate Treatment for Menopausal Vasomotor Symptoms
Bibliographic record
Abstract
OBJECTIVE: To compare efficacy and safety of desvenlafaxine succinate (desvenlafaxine) with placebo for the treatment of vasomotor symptoms. METHODS: This randomized, double-blind, placebo-controlled trial enrolled 707 healthy, postmenopausal women experiencing 50 or more moderate-to-severe hot flushes per week. Participants randomly received desvenlafaxine 50, 100, 150, or 200 mg or placebo daily. Trial duration was 52 weeks. Primary outcomes were change from baseline in average daily number of moderate-to-severe hot flushes and in daily hot flush severity score at weeks 4 and 12. RESULTS: Six hundred twenty women with an average of 11 moderate-to-severe hot flushes per day at baseline completed at least one on-therapy evaluation for primary efficacy end points; 519 participants completed 12 weeks of treatment, and 368 completed the study. Desvenlafaxine 100 mg/d achieved a significantly greater reduction compared with placebo in average daily number of hot flushes at weeks 4 (P=.013) and 12 (P=.005), reaching a 64% decrease from baseline at week 12, and the 75% responder rate was significantly higher for desvenlafaxine 100 mg (50%) compared with placebo (29%; P=.003; number needed to treat=4.7) at week 12. Average daily severity of hot flushes was significantly lower in the desvenlafaxine 100-mg group compared with placebo at week 12 (P=.020). Desvenlafaxine-treated women reported significantly more treatment-emergent adverse events than placebo-treated women during the first week of therapy only. CONCLUSION: Desvenlafaxine is an effective nonhormonal treatment for vasomotor symptoms in postmenopausal women. Its tolerability profile is consistent with that of other serotonin-norepinephrine reuptake inhibitors. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov, www.clinicaltrials.gov, NCT00421031 LEVEL OF EVIDENCE: I.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".